kegg-database SKILL.md skillA
kegg-database from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jaechang-hits/sciagent-skills/kegg-database@git:20260528.3e3f998Pins git:20260528.3e3f998 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jaechang-hits/sciagent-skills
- Path
skills/genomics-bioinformatics/databases/kegg-database/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260528.3e3f998, committed May 28, 2026
- Size
- 18,418 bytes
- Repository stars
- 381
- License
- a license file GitHub does not identify
KEGG REST API (academic only). Pathways, genes, compounds, enzymes, diseases, drugs via 7 ops (info/list/find/get/conv/link/ddi). ID conversion (NCBI/UniProt/PubChem). Use bioservices for multi-DB Python.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# KEGG Database — Biological Pathway & Molecular Network Queries ## Overview KEGG (Kyoto Encyclopedia of Genes and Genomes) is a comprehensive bioinformatics resource for biological pathway analysis, molecular interaction networks, and cross-database ID conversion. Access is via a direct REST API with no authentication — all operations use simple HTTP GET requests returning tab-delimited text. ## When to Use - Mapping genes to biological pathways (e.g., "which pathways involve TP53?") - Retrieving metabolic pathway details, gene lists, or compound structures - Converting identifiers between KEGG, NCBI Gene, UniProt, and PubChem - Checking drug-drug interactions from KEGG's pharmacological database - Building pathway enrichment context (all genes per pathway for an organism) - Cross-referencing compounds, reactions, enzymes, and pathways - For **Python-native multi-database queries** (KEGG + UniProt + Ensembl in one script), prefer `bioservices` instead - For **pathway visualization**, use KEGG Mapper (https://www.kegg.jp/kegg/mapper/) directly ## Prerequisites ```bash pip install requests ``` **API constraints**: …
Read the whole file at its exact version.
How to install
mdr add jaechang-hits/sciagent-skills/kegg-database@sha256:cf15d7e6ba22f175The line at the top of this page pins the label git:20260528.3e3f998, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_xpbaapwxmzitcb53)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 28, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (18418 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xpbaapwxmzitcb53 GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/kegg-database GET https://markdownregistry.com/api/v1/blob/cf15d7e6ba22f175b28bbda83170f79a4781827c30301d3b06286535d69b1e1a
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.